Yichuan Li is an Applied Scientist based in Seattle with nine years of experience bridging academic research and production ML at Amazon and leading research labs. Currently contributing to Amazon Rufus, he has a track record of designing knowledge-enhanced pre-trained language models that improve entity-centric tasks such as NER, relation extraction and reading comprehension. His background includes PhD-level research at Worcester Polytechnic Institute, industry internships at Microsoft and Amazon focused on prompt learning and few-shot classification, and practical recommender-system work from an earlier algorithm engineering role. Comfortable moving models from research to product, he combines deep NLP expertise with hands-on system-building and a history of teaching and mentoring graduate students. An understated strength is his pattern of returning to Amazon across multiple engagements, indicating strong impact and trust in production ML settings.
10 years of coding experience
4 years of employment as a software developer
Master's degree, computer science, Master's degree, computer science at Arizona State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worcester Polytechnic Institute
Bachelor's degree, Computer Science, 3.4/4.0, Bachelor's degree, Computer Science, 3.4/4.0 at Central China Normal University
Contributions:49 commits, 47 pushes, 1 branch in 1 year 1 month
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